In its simplest form, in our case the data instance is the answer text itself and the label would be a binary value indicating whether the asker accepted this text as an answer or not. Raw text, however, is a very inconvenient representation to process for most machine learning algorithms. They want numbers. And it will be our task to extract useful features from the raw text, which the machine learning algorithm can then use to learn the right label for it.